AI agents in TypeScript, type-safe from model to UI
We build AI agent systems in TypeScript, typed tool definitions, Zod-validated model outputs, Node.js agent services, and the full-stack AI pattern that keeps everything in one language and one compile step.
Full-stack TypeScript AI, from agent to interface
TypeScript catches the errors that LLM unpredictability introduces, before they reach your users.
TypeScript agent systems
Building AI agent systems in TypeScript, typed tool definitions, structured output validation with Zod, and the compile-time safety that prevents the class of runtime errors that untyped agent code produces.
Node.js AI service backends
Production Node.js services that wrap LLM calls, agent pipelines, and AI workflows, with proper async handling, streaming responses, and the error boundaries that keep one agent failure from crashing the service.
Vercel AI SDK integration
Building with the Vercel AI SDK for teams running Next.js, streaming UI, useChat and useCompletion hooks, and the full-stack TypeScript AI pattern that keeps the front-end and backend in sync.
TypeScript MCP server development
Building MCP servers in TypeScript for teams that want type-safe tool definitions and the Node.js deployment story, especially relevant for teams already running a TypeScript monorepo.
Type safety is not optional when the model can return anything
Type safety matters more in AI code
LLM responses are unpredictable. TypeScript with Zod schema validation gives you a structured contract between what the model returns and what your code expects, catching malformed outputs at the boundary instead of deep in business logic.
The full-stack TypeScript story is now mature
The Vercel AI SDK, the Anthropic TypeScript SDK, and the OpenAI Node.js SDK have all matured to the point where a full-stack TypeScript AI application is a first-class pattern, not a workaround.
Less context-switching for web teams
Teams that already run TypeScript frontends and backends can build and maintain AI features without switching languages. That is a real operational advantage over a Python microservice bolted onto a TypeScript monorepo.
Building AI features on a TypeScript stack?
Tell us what you are building. We will show you how we architect AI agents in TypeScript for teams that need them to hold up under real usage.
